Lung transplantation is currently the only recognized effective treatment for end-stage lung disease and has improved the quality of life for patients. However, lung transplantation still faces many challenges, including rejection, infection, post-transplant acute kidney injury, post-transplant diabetes mellitus, ischemia-reperfusion injury and donor shortage, etc. Chinese lung transplantation scholars made a series of important progress in the field of clinical research in 2024, focusing on the study and solution of the above problems, and providing new ideas for lung transplantation surgery. This article systematically reviews the clinical research and technological innovation in the field of lung transplantation in 2024, summarizes the achievements of clinical research in the field of lung transplantation in China in 2024, and aims to providing new directions and strategies for future research.

Lung transplantation is the optimal treatment for end-stage lung diseases and can significantly improve prognosis of the patients. However, postoperative complications such as infection, rejection, ischemia-reperfusion injury, and other challenges (like shortage of donor lungs) , limit the practical application of lung transplantation in clinical practice. Chinese research teams have been making continuous efforts and have achieved breakthroughs in basic research on lung transplantation by integrating emerging technologies and cutting-edge achievements from interdisciplinary fields, which has strongly propelled the development of this field. This article will comprehensively review the academic progress made by Chinese research teams in the field of lung transplantation in 2024, with a focus on the achievements of Chinese teams in basic research on lung transplantation. It aims to provide innovative ideas and strategies for key issues in the basic field of lung transplantation and to help China's lung transplantation cause reach a higher level.

Objective To establish an HPLC method to determine the concentration of inositol nicotinate（IN） in rat skin, and study the pharmacokinetic characteristics of IN after transdermal administration of heparin sodium inositol nicotinate cream in rats. Methods HPLC method was used to establish a simple and rapid analytical method for the determination of IN concentration in the skin of rats at different time points after administration. The established method was used to study the pharmacokinetics of IN after transdermal administration of heparin sodium inositol nicotinate cream in rats, and the pharmacokinetic parameters were fitted with DAS software. Results The linearity of the analytical method was good in the concentration range of 0.25-20 μg/ml, the quantitative limit was 0.25 μg/ml, and the average recovery rate was 96.18%. The pharmacokinetic parameters of IN after transdermal administration of heparin sodium inositol nicotinate cream in rats were as follows: t_1/2 was （4.555±2.054） h, T_max was （6±0）h, C_max was （16.929±2.153）mg/L, AUC_0−t was （150.665±16.568） mg·h /L ,AUC_0−∞ was （161.074±23.917） mg·h /L, MRT_（0−t） was （9.044±0.618）h, MRT_{（0−∞）} was （10.444±1.91） h, CLz/F was （0.19±0.03） L/（h·kg）, and Vz/F was （1.19±0.437） L/（h·kg）. Conclusion IN could quickly penetrate the skin and accumulate in the skin for a long time, which was beneficial to the pharmacological action of drugs on the lesion site for a long time. The method is simple, rapid, specific and reproducible, which could be successfully applied to the pharmacokinetic study of IN after transdermal administration in rats.

Objective To compare the performance and efficacy of prognostic models constructed by different machine learning algorithms in predicting the survival period of lung transplantation (LTx) recipients. Methods Data from 483 recipients who underwent LTx were retrospectively collected. All recipients were divided into a training set and a validation set at a ratio of 7:3. The 24 collected variables were screened based on variable importance (VIMP). Prognostic models were constructed using random survival forest (RSF) and extreme gradient boosting tree (XGBoost). The performance of the models was evaluated using the integrated area under the curve (iAUC) and time-dependent area under the curve (tAUC). Results There were no significant statistical differences in the variables between the training set and the validation set. The top 15 variables ranked by VIMP were used for modeling and the length of stay in the intensive care unit (ICU) was determined as the most important factor. Compared with the XGBoost model, the RSF model demonstrated better performance in predicting the survival period of recipients (iAUC 0.773 vs. 0.723). The RSF model also showed better performance in predicting the 6-month survival period (tAUC _{6 months} 0.884 vs. 0.809, P = 0.009) and 1-year survival period (tAUC _{1 year} 0.896 vs. 0.825, P = 0.013) of recipients. Based on the prediction cut-off values of the two algorithms, LTx recipients were divided into high-risk and low-risk groups. The survival analysis results of both models showed that the survival rate of recipients in the high-risk group was significantly lower than that in the low-risk group (P<0.001). Conclusions Compared with XGBoost, the machine learning prognostic model developed based on the RSF algorithm may preferably predict the survival period of LTx recipients.

Tetrandrine(TET),a natural bisbenzyl isoquinoline alkaloid extracted from Stephania tetrandra S.Moore,has diverse pharmacological effects.However,its effects on melanoma remain unclear.Cellular prolif-eration assays,multi-omics analyses,and xenograft models were used to determine the effect of TET on melanoma.The direct target of TET was identified using biotin-TET pull-down liquid chromatograph-mass spectrometry(LC-MS),cellular thermal shift assays,and isothermal titration calorimetry(ITC)analysis.Our findings revealed that TET treatment induced robust cellular autophagy depending on activating transcription factor 6(ATF6)-mediated endoplasmic reticulum(ER)stress.Simultaneously,it hindered autophagic flux by inducing cytoskeletal protein depolymerization in melanoma cells.TET treatment resulted in excessive accumulation of reactive oxygen species(ROS)and simultaneously triggered mitophagy.Sirtuin 5(SIRT5)was ultimately found to be a direct target of TET.Mechanistically,TET led to the degradation of SIRT5 via the ubiquitin(Ub)-26S proteasome system.SIRT5 knockdown induced ROS accumulation,whereas SIRT5 overexpression attenuated the TET-induced ROS accumula-tion and autophagy.Importantly,TET exhibited anti-cancer effects in xenograft models depending on SIRT5 expression.This study highlights the potential of TET as an antimelanoma agent that targets SIRT5.These findings provide a promising avenue for the use of TET in melanoma treatment and underscore its potential as a therapeutic candidate.

Autophagy is a cellular self-degradation process essential for maintaining metabolic functions in cells and organisms.Dysfunc-tional autophagy has been linked to various diseases,including cancer.The m6A modification,a major RNA modification in eukaryotes,plays a crucial role in regulating autophagy in tumor cells by regulating the expression of autophagy-associated genes(ATGs)or interfering with autophagy-related signaling pathways.Aberrant m6A modification can lead to dysregulated autophagy and impact tumor progression.However,the specific role of m6A in regulating tumor autophagy remains to be explored.Therefore,in this review,we discuss the role of m6A modification in tumor cell autophagy and examine its relationship with tumor progression and drug resistance,aiming to provide a the-oretical foundation for developing new therapeutic strategies.

Objective To investigate the clinical features of hospitalized children with pertussis.Methods The clinical data of 87 hospitalized children with pertussis admitted to Women and Children's Hospital Affiliated to Xiamen University from January 2019 to December 2022 were retrospectively analyzed.According to the age of the children,they were divided into group A(≤3 months of age,35 cases),group B(4-12 months of age,36 cases)and group C(>12 months of age,16 cases).The clinical features of children at different ages were compared.Results The majority of children with pertussis were<1 year old(81.61%),and August was the month of high incidence.Spastic cough(72.41%)was the main clinical manifestation.Other manifestations included redness or cyanosis,vomiting after coughing,crow echo,etc.There were statistically significant differences in the incidence of spastic cough,redness or cyanosis and the contact history of patients with chronic cough among three groups(P<0.05).There were significant differences in the incidence of pneumonia and the average length of hospital stay among three groups(P<0.05).There was significant difference in C-reactive protein level among three groups(P<0.05).Among 87 children with pertussis,37 cases(42.53%)were infected with other pathogens,among which virus infection was the most common.The treatment is effective with macrolides and compound sulfamethoxazole.Conclusion Pertussis is more common in infants under 1 year of age,and the incidence is high in August.Chronic cough patients with close contact may be the source of infection.Spastic cough is the main clinical symptom of children;the younger,the more common symptoms such as spastic cough,redness and cyanosis,the higher incidence of pneumonia and the longer hospital stay.

Objective:To know the current situation of kinesiophobia in patients after cardiac surgery under cardiopulmonary bypass, and to clarify its influencing factors, so as to provide reference for developing intervention strategies to improve kinesiophobia level.Methods:This was a cross-sectional study. From February 2022 to September 2022, the patients after cardiac valve surgery under cardiopulmonary bypass in the Second Affiliated Hospital Zhejiang University School of Medicine were investigated by convenience sampling methods. The survey was conducted using the General Information Questionnaire, The Tampa Scale for Kinesiophobia Heart, Exercise Self-Efficacy Scale, Pain Catastrophizing Scale, and Adaptation, Partnership, Growth, Affection and Resolve(APGAR) as research tools, and the influencing factors were analyzed using univariate and binary Logistic regression analysis.Results:A total of 219 patients were included, of which 97 patients (44.3%) had kinesiophobia. The results of binary Logistic regression analysis showed that monthly family income level, first time out of bed after operation, fear of falling, the family APGAR, and pain catastrophizing were significant influencing factors of kinesiophobia in patients after heart valve surgery under cardiopulmonary bypass (all P<0.05). Conclusions:The prevalence of kinesiophobia is high among patients after heart valve surgery under cardiopulmonary bypass. Clinicians should pay attention to patients with low monthly family income level, late first time out of bed after surgery, and fear of falling, as well as strengthen communication with patients and families, focus on the management of acute postoperative pain. In order to reduce or avoid the occurrence of kinesiophobia and enable patients to benefit from early ambulation.

Objective To systematically evaluate the risk factors associated with the occurrence of nosocomial infections(NI)in patients undergoing extracorporeal membrane oxygenation(ECMO)support.Methods A computerized systematic search was performed aross the Chinese databases including CNKI,Wanfang Database,China Biomedical Literature Database(CBMdisc),and Weipu,as well as the English databases such as PubMed,EMBase,Web of Science,and the Cochrane Library for case-control or cohort studies on the risk factors of hospital-acquired infections in patients undergoing ECMO support from the time of database construction to February 2023.The relevant literatures were screened by two researchers independently.Meta-analysis was performed using RevMan 5.4 software.Results A total of 20 papers,including 2 746 patients and 16 risk factors,were included.Meta-analysis results showed that older age[>50 years:odds ratio(OR)= 2.87,95％ confidence interval(95％ CI)was 1.24-6.63,P = 0.01;>65 years:OR = 1.66,95％ CI was 1.22-2.26,P = 0.001],combined hypertension(OR = 1.48,95％ CI was 1.01-2.15,P = 0.04),combined diabetes mellitus(OR = 1.40,95％ CI was 1.02-1.94,P = 0.04),sequential organ failure assessment(SOFA)was higher(OR = 1.06,95％ CI was 1.02-1.10,P = 0.000 7),the installation of ECMO in the intensive care unit(ICU,OR=1.48,95％ Ciwas 1.11-1.99,P=0.008),ECMO course(OR=1.27,95％ Ciwas 1.05-1.54,P = 0.01),ventilator-assistance for >48 hours(OR = 4.91,95％ CI was 2.40-10.05,P<0.000 1),and tracheotomy(OR = 9.56,95％ CI was 3.60-25.35,P<0.000 01)were identified as ECMO risk factors for hospital-acquired infections in patients.Conclusion Older age,combined hypertension,diabetes mellitus,higher SOFA,ECMO installation site in ICU,ECMO course,ventilator assistance>48 hours,tracheotomy are the risk factors for the occurrence of hospital-acquired infections in patients with ECMO,healthcare professionals should promptly identify the risk factors related to hospital-acquired infections,and take active and effective measures against controllable risk factors,including early intervention to prevent the occurrence of NI in ECMO patients.

The biological samples of oral genetic diseases and rare diseases are extremely precious. Collecting and preserving these biological samples are helpful to elucidate the mechanisms and improve the level of diagnose and treatment of oral genetic diseases and rare diseases. The standardized construction of biobanks for oral genetic diseases and rare diseases is important for achieving these goals. At present, there is very little information on the construction of these biobanks, and the standards or suggestions for the classification and coding of biological samples from oral and maxillofacial sources, and this is not conducive to the standardization and information construction of biobanks for special oral diseases. This consensus summarizes the background, necessity, principles, and key points of constructing the biobank for oral genetic diseases and rare diseases. On the base of the group standard "Classification and Coding for Human Biomaterial" (GB/T 39768-2021) issued by the National Technical Committee for Standardization of Biological Samples, we suggest 76 new coding numbers for different of biological samples from oral and maxillofacial sources. We hope the consensus may promote the standardization, and smartization on the biobank construction as well as the overall research level of oral genetic diseases and rare diseases in China.